Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 595

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Fabrication of Ag3PO4-Graphene Composites with Highly Efficient and Stable Visible Light Photocatalytic Performance

Yang, Xiaofei, Cui, Haiying, Li, Yang, Qin, Jieling, Zhang, Rongxian, Tang, Hua·2013·ACS Catalysis

Abstract

A facile and effective hydrothermal method for the fabrication of the Ag 3 PO 4 -graphene (Ag 3 PO 4 -GR) visible light photocatalyst has been developed to improve the photocatalytic performance and stability of Ag 3 PO 4, and also to reduce the high cost of Ag 3 PO 4 for practical uses. The size and morphology of Ag 3 PO 4 particles could be tailored by the electrostatically driven assembly of Ag + on graphene oxide (GO) sheets and by the controlled growth of Ag 3 PO 4 particles on the GO surface. The generation of Ag 3 PO 4 and the transformation of GO to GR can be achieved simultaneously in the hydrothermal process. The improved photocatalytic activity of Ag 3 PO 4 -GR composites under visible light irradiation is attributed to high-surface-area GR sheets, enhanced absorption of organic dyes, and more efficient separation of photogenerated electron–hole pairs. The transfer of photogenerated electrons from the surface of Ag 3 PO 4 to GR sheets also reduces the possibility of decomposing Ag + to metallic Ag, suggesting an improved stability of recyclable Ag 3 PO 4 -GR composite photocatalyst. Moreover, with the advances in the large-scale production of high-quality GO, the use of GO as the starting material can also reduce the cost for the synthesis of Ag 3 PO 4 -based photocatalysts without weakening their photocatalytic activities.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/cs3008126

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 4 references

Cited by

Metadata

Authors
Yang, X., Cui, H., Li, Y., Qin, J., Zhang, R., & Tang, H.
Venue
ACS Catalysis
Published
2013-02-05
Volume
3
Issue
3
Pages
363-369
ISSN
2155-5435 (ISSN-L)
OpenAlex
W2319728625
Cited by
595
References
4
FWCI
27.05
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.